23 datasets found
  1. VSRR Provisional Maternal Death Counts and Rates

    • data.virginia.gov
    • healthdata.gov
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    csv, json, rdf, xsl
    Updated May 1, 2025
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    Centers for Disease Control and Prevention (2025). VSRR Provisional Maternal Death Counts and Rates [Dataset]. https://data.virginia.gov/dataset/vsrr-provisional-maternal-death-counts-and-rates
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    csv, xsl, rdf, jsonAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. Provisional rates which are an early estimate of the number of maternal deaths per 100,000 live births, are shown as of the date specified and may not include all deaths and births that occurred during a given time period (see Technical Notes).

    A maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes. In this data visualization, maternal deaths are those deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers A34, O00–O95, and O98–O99.

    The provisional data include reported 12 month-ending provisional maternal mortality rates overall, by age, and by race and Hispanic origin. Provisional maternal mortality rates presented in this data visualization are for “12-month ending periods,” defined as the number of maternal deaths per 100,000 live births occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2020 would include deaths and births occurring from July 1, 2019, through June 30, 2020. Evaluation of trends over time should compare estimates from year to year (June 2020 and June 2021), rather than month to month, to avoid overlapping time periods. In the visualization and in the accompanying data file, rates based on death counts less than 20 are suppressed in accordance with current NCHS standards of reliability for rates. Death counts between 1-9 in the data file are suppressed in accordance with National Center for Health Statistics (NCHS) confidentiality standards.

    Provisional data presented on this page will be updated on a quarterly basis as additional records are received. Previously released estimates are revised to include data and record updates received since the previous release. As a result, the reliability of estimates for a 12-month period ending with a specific month will improve with each quarterly release and estimates for previous time periods may change as new data and updates are received.

  2. U

    United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000...

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-maternal-mortality-ratio-modeled-estimate-per-100000-live-births
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Description

    United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 14.000 Ratio in 2015. This stayed constant from the previous number of 14.000 Ratio for 2014. United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 13.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 15.000 Ratio in 2009 and a record low of 11.000 Ratio in 1998. United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

  3. e

    Maternal mortality

    • data.europa.eu
    excel xls
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    North Gate II & III - INS (STATBEL - Statistics Belgium), Maternal mortality [Dataset]. https://data.europa.eu/data/datasets/9f2ce5d363de77c9f2485d3fe1b3844f8aa13697?locale=en
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    excel xlsAvailable download formats
    Dataset authored and provided by
    North Gate II & III - INS (STATBEL - Statistics Belgium)
    Description

    Statistics on maternal mortality are produced based on the database of causes of death. "Maternal deaths" are selected from the database via a complex procedure, which takes into account the definition given by the WHO and is described in detail in the metadata. The tenth revision of the International Classification of Diseases (ICD-10) defines maternal death as "the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes." "Maternal deaths should be subdivided into two groups. Direct obstetric deaths: those resulting from obstetric complications of the pregnant state (pregnancy, labour and puerperium), from interventions, omissions, incorrect treatment, or from a chain of events resulting from any of the above. Indirect obstetric deaths: those resulting from previous existing disease or disease that developed during pregnancy and which was not due to direct obstetric causes, but which was aggravated by physiologic effects of pregnancy." Furthermore, the ICD-10 also defines late maternal death as "the death of a woman from direct or indirect obstetric causes more than 42 days but less than one year after termination of pregnancy." The "maternal mortality rate" is the ratio between the number of recorded direct and indirect maternal deaths over one year and the number of live birth in the same year, expressed per 100,000 live births. Late maternal deaths are not taken into account in the calculation of this ratio. Given the small and markedly variable number of cases recorded each year in Belgium, it has been decided to calculate this ratio based on the cumulated maternal deaths and live births of five consecutive years, with the ratio calculated being recorded in the middle year. When identifying these maternal deaths, the ad hoc working group, bringing together the Belgian statistical office and all data producing federated entities, did not exclude the risk of an underestimation of these deaths, based on the only statistical bulletin used as main source. It therefore asks for continued efforts to further improve the follow-up of maternal deaths, and supports the recent initiative of the College of physicians for Mother and Newborn to consider the creation of a maternal mortality register.

  4. Provisional COVID-19 Death Counts by Week Ending Date and State

    • healthdata.gov
    • data.virginia.gov
    • +4more
    application/rdfxml +5
    Updated Feb 25, 2021
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    data.cdc.gov (2021). Provisional COVID-19 Death Counts by Week Ending Date and State [Dataset]. https://healthdata.gov/CDC/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/myfg-8iqr
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    tsv, xml, application/rdfxml, csv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    data.cdc.gov
    Description

    Effective September 27, 2023, this dataset will be updated weekly on Thursdays.

    Deaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state

  5. i

    Number maternal deaths

    • data.internationalmidwives.org
    Updated Jun 18, 2025
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    International Confederation of Midwives (2025). Number maternal deaths [Dataset]. https://data.internationalmidwives.org/items/a2443223c3974e1eaa26f4cfb67e406e
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    International Confederation of Midwives
    Description

    This dataset presents the total number of maternal deaths reported per country in a given reference year. Maternal death is defined as the death of a woman during pregnancy or within 42 days of termination of pregnancy, from causes related to or aggravated by the pregnancy or its management. This absolute number provides important context alongside the maternal mortality ratio (MMR), supporting understanding of overall burden and trends over time. Data are sourced from the WHO Global Health Observatory, which provides globally standardised maternal health statistics.Data Source:WHO Global Health Observatory: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-maternal-deathsThis is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

  6. d

    World's Women Reports

    • search.dataone.org
    • data.niaid.nih.gov
    Updated Nov 21, 2023
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    Harvard Dataverse (2023). World's Women Reports [Dataset]. http://doi.org/10.7910/DVN/EVWPN6
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Area covered
    World
    Description

    Users can access data related to international women’s health as well as data on population and families, education, work, power and decision making, violence against women, poverty, and environment. Background World’s Women Reports are prepared by the Statistics Division of the United Nations Department for Economic and Social Affairs (UNDESA). Reports are produced in five year intervals and began in 1990. A major theme of the reports is comparing women’s situation globally to that of men in a variety of fields. Health data is available related to life expectancy, cause of death, chronic disease, HIV/AIDS, prenatal care, maternal morbidity, reproductive health, contraceptive use, induced abortion, mortality of children under 5, and immunization. User functionality Users can download full text or specific chapter versions of the reports in color and black and white. A limited number of graphs are available for download directly from the website. Topics include obesity and underweight children. Data Notes The report and data tables are available for download in PDF format. The next report is scheduled to be released in 2015. The most recent report was released in 2010.

  7. l

    Maternal Mortality

    • geohub.lacity.org
    • data.lacounty.gov
    • +3more
    Updated Jan 4, 2024
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    County of Los Angeles (2024). Maternal Mortality [Dataset]. https://geohub.lacity.org/items/9351999219574c0a9023b74a44977a87
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    Dataset updated
    Jan 4, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Maternal mortality ratio is defined as the number of female deaths due to obstetric causes (ICD-10 codes: A34, O00-O95, O98-O99) while pregnant or within 42 days of termination of pregnancy. The maternal mortality ratio indicates the likelihood of a pregnant person dying of obstetric causes. It is calculated by dividing the number of deaths among birthing people attributable to obstetric causes in a calendar year by the number of live births registered for the same period and is presented as a rate per 100,000 live births. The number of live births used in the denominator approximates the population of pregnant and birthing people who are at risk. Data are not presented for geographies with number of maternal deaths less than 11.Compared to other high-income countries, women in the US are more likely to die from childbirth or problems related to pregnancy. In addition, there are persistent disparities by race and ethnicity, with Black pregnant persons experiencing a much higher rate of maternal mortality compared to White pregnant persons. Improving the quality of medical care for pregnant individuals before, during, and after pregnancy can help reduce maternal deaths.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  8. Provisional Death Counts for Coronavirus Disease (COVID-19)

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Provisional Death Counts for Coronavirus Disease (COVID-19) [Dataset]. https://catalog.data.gov/dataset/provisional-death-counts-for-coronavirus-disease-covid-19
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset is no longer updated. Please see the following datasets for recent data: Provisional COVID-19 Deaths by Week (https://data.cdc.gov/dataset/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab/) Provisional COVID-19 Deaths by Sex, Age, and State (https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku)

  9. w

    Kyrgyz Republic - Demographic and Health Survey 1997 - Dataset - waterdata

    • wbwaterdata.org
    Updated Mar 16, 2020
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    (2020). Kyrgyz Republic - Demographic and Health Survey 1997 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/kyrgyz-republic-demographic-and-health-survey-1997
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Kyrgyzstan
    Description

    The 1997 the Kyrgyz Republic Demographic and Health Survey (KRDHS) is a nationally representative survey of 3,848 women age 15-49. Fieldwork was conducted from August to November 1997. The KRDHS was sponsored by the Ministry of Health (MOH), and was funded by the United States Agency for International Development. The Research Institute of Obstetrics and Pediatrics implemented the survey with technical assistance from the Demographic and Health Surveys (DHS) program. The purpose of the KRDHS was to provide data to the MOH on factors which determine the health status of women and children such as fertility, contraception, induced abortion, maternal care, infant mortality, nutritional status, and anemia. Some statistics presented in this report are currently available to the MOH from other sources. For example, the MOH collects and regularly publishes information on fertility, contraception, induced abortion and infant mortality. However, the survey presents information on these indices in a manner which is not currently available, i.e., by population subgroups such as those defined by age, marital duration, education, and ethnicity. Additionally, the survey provides statistics on some issues not previously available in the Kyrgyz Republic: for example, breastfeeding practices and anemia status of women and children. When considered together, existing MOH data and the KRDHS data provide a more complete picture of the health conditions in the Kyrgyz Republic than was previously available. A secondary objective of the survey was to enhance the capabilities of institutions in the Kyrgyz Republic to collect, process, and analyze population and health data. MAIN FINDINGS FERTILITY Fertility Rates. Survey results indicate a total fertility rate (TFR) for all of the Kyrgyz Republic of 3.4 children per woman. Fertility levels differ for different population groups. The TFR for women living in urban areas (2.3 children per woman) is substantially lower than for women living in rural areas (3.9). The TFR for Kyrgyz women (3.6 children per woman) is higher than for women of Russian ethnicity (1.5) but lower than Uzbek women (4.2). Among the regions of the Kyrgyz Republic, the TFR is lowest in Bishkek City (1.7 children per woman), and the highest in the East Region (4.3), and intermediate in the North and South Regions (3.1 and3.9, respectively). Time Trends. The KRDHS data show that fertility has declined in the Kyrgyz Republic in recent years. The decline in fertility from 5-9 to 0-4 years prior to the survey increases with age, from an 8 percent decline among 20-24 year olds to a 38 percent decline among 35-39 year olds. The declining trend in fertility can be seen by comparing the completed family size of women near the end of their childbearing years with the current TFR. Completed family size among women 40-49 is 4.6 children which is more than one child greater than the current TFR (3.4). Birth Intervals. Overall, 30 percent of births in the Kyrgyz Republic take place within 24 months of the previous birth. The median birth interval is 31.9 months. Age at Onset of Childbearing. The median age at which women in the Kyrgyz Republic begin childbearing has been holding steady over the past two decades at approximately 21.6 years. Most women have their first birth while in their early twenties, although about 20 percent of women give birth before age 20. Nearly half of married women in the Kyrgyz Republic (45 percent) do not want to have more children. Additional one-quarter of women (26 percent) want to delay their next birth by at least two years. These are the women who are potentially in need of some method of family planning. FAMILY PLANNING Ever Use. Among currently married women, 83 percent report having used a method of contraception at some time. The women most likely to have ever used a method of contraception are those age 30-44 (among both currently married and all women). Current Use. Overall, among currently married women, 60 percent report that they are currently using a contraceptive method. About half (49 percent) are using a modern method of contraception and another 11 percent are using a traditional method. The IUD is by far the most commonly used method; 38 percent of currently married women are using the IUD. Other modern methods of contraception account for only a small amount of use among currently married women: pills (2 percent), condoms (6 percent), and injectables and female sterilization (1 and 2 percent, respectively). Thus, the practice of family planning in the Kyrgyz Republic places high reliance on a single method, the IUD. Source of Methods. The vast majority of women obtain their contraceptives through the public sector (97 percent): 35 percent from a government hospital, and 36 percent from a women counseling center. The source of supply of the method depends on the method being used. For example, most women using IUDs obtain them at women counseling centers (42 percent) or hospitals (39 percent). Government pharmacies supply 46 percent of pill users and 75 percent of condom users. Pill users also obtain supplies from women counseling centers or (33 percent). Fertility Preferences. A majority of women in the Kyrgyz Republic (45 percent) indicated that they desire no more children. By age 25-29, 20 percent want no more children, and by age 30-34, nearly half (46 percent) want no more children. Thus, many women come to the preference to stop childbearing at relatively young ages-when they have 20 or more potential years of childbearing ahead of them. For some of these women, the most appropriate method of contraception may be a long-acting method such as female sterilization. However, there is a deficiency of use of this method in the Kyrgyz Republic. In the interests of providing a broad range of safe and effective methods, information about and access to sterilization should be increased so that individual women can make informed decisions about using this method. INDUCED ABORTION Abortion Rates. From the KRDHS data, the total abortion rate (TAR)-the number of abortions a woman will have in her lifetime based on the currently prevailing abortion rates-was calculated. For the Kyrgyz Republic, the TAR for the period from mid-1994 to mid-1997 is 1.6 abortions per woman. The TAR for the Kyrgyz Republic is lower than recent estimates of the TAR for other areas of the former Soviet Union such as Kazakhstan (1.8), and Yekaterinburg and Perm in Russia (2.3 and 2.8, respectively), but higher than for Uzbekistan (0.7). The TAR is higher in urban areas (2.1 abortions per woman) than in rural areas (1.3). The TAR in Bishkek City is 2.0 which is two times higher than in other regions of the Kyrgyz Republic. Additionally the TAR is substantially lower among ethnic Kyrgyz women (1.3) than among women of Uzbek and Russian ethnicities (1.9 and 2.2 percent, respectively). INFANT MORTALITY In the KRDHS, infant mortality data were collected based on the international definition of a live birth which, irrespective of the duration of pregnancy, is a birth that breathes or shows any sign of life (United Nations, 1992). Mortality Rates. For the five-year period before the survey (i.e., approximately mid-1992 to mid1997), infant mortality in the Kyrgyz Republic is estimated at 61 infant deaths per 1,000 births. The estimates of neonatal and postneonatal mortality are 32 and 30 per 1,000. The MOH publishes infant mortality rates annually but the definition of a live birth used by the MOH differs from that used in the survey. As is the case in most of the republics of the former Soviet Union, a pregnancy that terminates at less than 28 weeks of gestation is considered premature and is classified as a late miscarriage even if signs of life are present at the time of delivery. Thus, some events classified as late miscarriages in the MOH system would be classified as live births and infant deaths according to the definitions used in the KRDHS. Infant mortality rates based on the MOH data for the years 1983 through 1996 show a persistent declining trend throughout the period, starting at about 40 per 1,000 in the early 1980s and declining to 26 per 1,000 in 1996. This time trend is similar to that displayed by the rates estimated from the KRDHS. Thus, the estimates from both the KRDHS and the Ministry document a substantial decline in infant mortality; 25 percent over the period from 1982-87 to 1992-97 according to the KRDHS and 28 percent over the period from 1983-87 to 1993-96 according to the MOH estimates. This is strong evidence of improvements in infant survivorship in recent years in the Kyrgyz Republic. It should be noted that the rates from the survey are much higher than the MOH rates. For example, the KRDHS estimate of 61 per 1,000 for the period 1992-97 is twice the MOH estimate of 29 per 1,000 for 1993-96. Certainly, one factor leading to this difference are the differences in the definitions of a live birth and infant death in the KRDHS survey and in the MOH protocols. A thorough assessment of the difference between the two estimates would need to take into consideration the sampling variability of the survey's estimate. However, given the magnitude of the difference, it is likely that it arises from a combination of definitional and methodological differences between the survey and MOH registration system. MATERNAL AND CHILD HEALTH The Kyrgyz Republic has a well-developed health system with an extensive infrastructure of facilities that provide maternal care services. This system includes special delivery hospitals, the obstetrics and gynecology departments of general hospitals, women counseling centers, and doctor's assistant/midwife posts (FAPs). There is an extensive network of FAPs throughout the rural areas. Delivery. Virtually all births in the Kyrgyz Republic (96 percent) are delivered at health facilities: 95 percent in delivery hospitals and another 1 percent in either general hospitals

  10. Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12...

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020 [Dataset]. https://catalog.data.gov/dataset/provisional-drug-overdose-deaths-by-urban-rural-classification-scheme-for-12-month-ending--6084a
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    National provisional drug overdose deaths by month and 2013 NCHS Urban–Rural Classification Scheme for Counties. Drug overdose deaths are identified using underlying cause-of-death codes from the Tenth Revision of ICD (ICD–10): X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), and Y10–Y14 (undetermined). Deaths are based on the county of residence in the United States. Death counts provided are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. Estimates for 2020 are based on provisional data. Estimates for 2018 and 2019 are based on final data. For more information on NCHS urban-rural classification, see: https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf

  11. VSRR Provisional County-Level Drug Overdose Death Counts

    • catalog.data.gov
    • healthdata.gov
    • +4more
    Updated Jul 17, 2025
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    Centers for Disease Control and Prevention (2025). VSRR Provisional County-Level Drug Overdose Death Counts [Dataset]. https://catalog.data.gov/dataset/vsrr-provisional-county-level-drug-overdose-death-counts-d154f
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    Dataset updated
    Jul 17, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This data visualization presents county-level provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. County-level provisional counts include deaths occurring within the 50 states and the District of Columbia, as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts (see Technical Notes). The provisional data presented on the dashboard below include reported 12 month-ending provisional counts of death due to drug overdose by the decedent’s county of residence and the month in which death occurred. Percentages of deaths with a cause of death pending further investigation and a note on historical completeness (e.g. if the percent completeness was under 90% after 6 months) are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts (see Technical Notes). Counts between 1-9 are suppressed in accordance with NCHS confidentiality standards. Provisional data presented on this page will be updated on a quarterly basis as additional records are received. Technical Notes Nature and Sources of Data Provisional drug overdose death counts are based on death records received and processed by the National Center for Health Statistics (NCHS) as of a specified cutoff date. The cutoff date is generally the first Sunday of each month. National provisional estimates include deaths occurring within the 50 states and the District of Columbia. NCHS receives the death records from the state vital registration offices through the Vital Statistics Cooperative Program (VSCP). The timeliness of provisional mortality surveillance data in the National Vital Statistics System (NVSS) database varies by cause of death and jurisdiction in which the death occurred. The lag time (i.e., the time between when the death occurred and when the data are available for analysis) is longer for drug overdose deaths compared with other causes of death due to the time often needed to investigate these deaths (1). Thus, provisional estimates of drug overdose deaths are reported 6 months after the date of death. Provisional death counts presented in this data visualization are for “12 month-ending periods,” defined as the number of deaths occurring in the 12 month period ending in the month indicated. For example, the 12 month-ending period in June 2020 would include deaths occurring from July 1, 2019 through June 30, 2020. The 12 month-ending period counts include all seasons of the year and are insensitive to reporting variations by seasonality. These provisional counts of drug overdose deaths and related data quality metrics are provided for public health surveillance and monitoring of emerging trends. Provisional drug overdose death data are often incomplete, and the degree of completeness varies by jurisdiction and 12 month-ending period. Consequently, the numbers of drug overdose deaths are underestimated based on provisional data relative to final data and are subject to random variation. Cause of Death Classification and Definition of Drug Deaths Mortality statistics are compiled in accordance with the World Health Organizations (WHO) regulations specifying that WHO member nations classify and code causes of death with the current revision of the International Statistical Classification of Diseases and Related Health Problems (ICD). ICD provides the basic guidance used in virtually all countries to code and classify causes of death. It provides not only disease, injury, and poisoning categories but also the rules used to select the single underlying cause of death for tabulation from the several diagnoses that may be reported on a single death certificate, as well as definitions, tabulation lists, the format of the death certificate, and regul

  12. e

    Pregnancy termination trajectories in Zambia: The socio-economic costs -...

    • b2find.eudat.eu
    Updated Mar 13, 2012
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    (2012). Pregnancy termination trajectories in Zambia: The socio-economic costs - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/27f3f10f-5945-5a16-a7f3-d7ee2707731e
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    Dataset updated
    Mar 13, 2012
    Area covered
    Zambia
    Description

    Hospital-based recruitment of females seeking termination of pregnancy or post-abortion care at a Zambian government health facility. The research used an innovative mixed methods interview which combined quantitative and qualitative techniques in one interview. Each participant was interviewed by two research assistants (RAs). One RA led the interview, using a conventional interview schedule in the manner of a qualitative semi-structured interview, while the second RA listened and, where possible, completed the quantitative ‘data sheet’. When the first RA has completed the qualitative part of the interview, interviewer two took over and asked the participant any remaining questions not yet answered on the data sheet. This technique allowed us to capture both the individual fine-grained narratives, which are not easily captured in a questionnaire-type survey, especially on such a sensitive area, as well as survey data. Rather than conducting an in-depth qualitative interview and a survey, our method reduced the burden on the respondent, avoiding repetition of questions and reducing the time taken. The quantitative data was used to establish the distribution of out-of-pocket expenses, for women and their households, incurred using hospital-based safe abortion and PAC services. Qualitative data established the range of reasons why women sought abortion, and why they used or did not use safe abortion services, and explored the social costs and benefits of their trajectories, and the policy implications. Unsafe abortion is a significant, preventable, cause of maternal mortality and morbidity and is both a cause and a consequence of poverty. Unsafe abortion is the most easily prevented cause of maternal death. Post-abortion care (PAC) is a strategy to address the problem of the outcomes of unsafe abortion.This research aims to establish how investment in safe abortion services impacts on the socio-economic conditions of women and their households, and the implications for policy-making and service provision in Zambia. The microeconomic impact of out-of-pocket health expenditure for reproductive health and abortion care, have received little attention.The data available for sub-Saharan Africa are particularly scanty and poor quality. The approach is multi-disciplinary, with primary data collection of both qualitative and quantitative data, including a quantitative survey and in-depth qualitative interviews with women who have sought PAC, and policymaker interviews. Zambia's relatively liberal legal context, and the existence of PAC provision facilitates research on issues related to abortion which can have broader lessons for developments elsewhere in the region.The majority of women seeking abortion-related care in Zambia do so for PAC following an unsafe abortion, and have not accessed safe abortion services.This demands better understanding and analysis. Over a 12 month period, all women identified as having undergone either a safe abortion or having received PAC following an attempted induced abortion at a Zambian government health facility were approached for inclusion in the study. We did not interview women identified as having received PAC following a spontaneous abortion. Undoubtedly, some women claiming to have had a spontaneous abortion had in fact attempted to induce an abortion, and at times medical evidence suggested so, however we could not interview them about the attempt as they were not willing to disclose any information on an attempted abortion. As part of the research team we employed two midwives working on the obstetrics and gynaecology ward to act as gatekeepers, identifying suitable women for recruitment and asking them to participate in the study. The research used an innovative mixed methods interview which combined quantitative and qualitative techniques in one interview. Each participant was interviewed by two research assistants (RAs). One RA led the interview, using a conventional interview schedule in the manner of a qualitative semi-structured interview, while the second RA listened and, where possible, completed the quantitative ‘data sheet’. When the first RA has completed the qualitative part of the interview, interviewer two took over and asked the participant any remaining questions not yet answered on the data sheet. This technique allowed us to capture both the individual fine-grained narratives, which are not easily captured in a questionnaire-type survey, especially on such a sensitive area, as well as survey data. Rather than conducting an in-depth qualitative interview and a survey, our method reduced the burden on the respondent, avoiding repetition of questions and reducing the time taken.

  13. d

    Neonatal Mortality Ratio

    • data.gov.au
    • researchdata.edu.au
    • +1more
    csv
    Updated Aug 3, 2021
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    Sustainable Development Goals (2021). Neonatal Mortality Ratio [Dataset]. https://data.gov.au/data/dataset/activity/neonatal-mortality-ratio
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    csv(151)Available download formats
    Dataset updated
    Aug 3, 2021
    Dataset provided by
    Sustainable Development Goals
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Counting perinatal deaths - Various definitions are used for reporting and registering perinatal deaths in Australia. The National Perinatal Data Collection defines perinatal deaths as all fetal deaths (stillbirths) and neonatal deaths (deaths of liveborn babies aged less than 28 days) of at least 400 grams birthweight or at least 20 weeks’ gestation. Fetal and neonatal deaths may include late termination of pregnancy (20 weeks or more gestation). Perinatal and fetal death rates are calculated using all live births and stillbirths in the denominator. Neonatal death rates are calculated using live births only. Neonatal deaths may not be included for babies transferred to another hospital, re-admitted to hospital after discharge or who died at home after discharge. The AIHW has established a separate National Perinatal Mortality Data Collection to capture complete information on these deaths. The latest report is available from the AIHW website.

    Further information can be found here > https://www.aihw.gov.au/reports/mothers-babies/australias-mothers-and-babies-2018-in-brief/contents/table-of-contents

    and

    https://www.aihw.gov.au/reports/mothers-babies/australias-mothers-babies-data-visualisations/contents/stillbirths-and-neonatal-deaths

  14. V

    2020 Maternal Mortality Rates - Datathon23

    • data.virginia.gov
    html
    Updated Feb 3, 2024
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    Other (2024). 2020 Maternal Mortality Rates - Datathon23 [Dataset]. https://data.virginia.gov/dataset/2020-maternal-mortality-rates-datathon23
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    htmlAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Description

    This report presents maternal mortality rates for 2020 based on data from the National Vital Statistics System. A maternal death is defined by the World Health Organization as, “the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes” (1). Maternal mortality rates, which are the number of maternal deaths per 100,000 live births, are shown in this report by age group and race and Hispanic origin.

  15. e

    Business Demography

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    csv
    Updated Apr 25, 2021
    + more versions
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    Lincolnshire County Council (2021). Business Demography [Dataset]. https://data.europa.eu/data/datasets/business-demography?locale=it
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    csvAvailable download formats
    Dataset updated
    Apr 25, 2021
    Dataset authored and provided by
    Lincolnshire County Council
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Business demography data counts numbers of active businesses with turnover or employment in a reporting year. It also indicates numbers of new businesses (business births) and numbers of businesses terminated (business deaths) during the reporting year.

    Numbers and percentages of businesses that were newly created during years leading up to the latest reporting year, and which were still surviving, are also shown.

    When using the data, comparative birth or death rates may be constructed adhoc if needed, by dividing the number of births or deaths by the number of active businesses.

    Please note that due to being required early in the reporting cycle, numbers of business deaths are provisional and may be subject to later revision. For more information about the dataset and its methodology, see the source link.

    Source: Office for National Statistics (ONS)

  16. Business Demography - Datasets - Lincolnshire Open Data

    • lincolnshire.ckan.io
    Updated Jun 19, 2017
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    ckan.io (2017). Business Demography - Datasets - Lincolnshire Open Data [Dataset]. https://lincolnshire.ckan.io/dataset/business-demography
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    Dataset updated
    Jun 19, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Business demography data counts numbers of active businesses with turnover or employment in a reporting year. It also indicates numbers of new businesses (business births) and numbers of businesses terminated (business deaths) during the reporting year. Numbers and percentages of businesses that were newly created during years leading up to the latest reporting year, and which were still surviving, are also shown. When using the data, comparative business birth or death rates may be constructed adhoc if needed, by dividing the number of births or deaths by the number of active businesses. Please note that due to being required early in the reporting cycle, numbers of business deaths are provisional and may be subject to later revision. For more information about the dataset and its methodology, see the source link. Source: Office for National Statistics (ONS)

  17. w

    Dataset of artists who created Demonstratie tegen abortus Anti-abortion...

    • workwithdata.com
    Updated May 8, 2025
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    Work With Data (2025). Dataset of artists who created Demonstratie tegen abortus Anti-abortion demonstration, Den Haag [Dataset]. https://www.workwithdata.com/datasets/artists?f=1&fcol0=j0-artwork&fop0=%3D&fval0=Demonstratie+tegen+abortus+Anti-abortion+demonstration%2C+Den+Haag&j=1&j0=artworks
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    The Hague
    Description

    This dataset is about artists. It has 1 row and is filtered where the artworks is Demonstratie tegen abortus Anti-abortion demonstration, Den Haag. It features 9 columns including birth date, death date, country, and gender.

  18. Malnutrition: Underweight Women, Children & Others

    • kaggle.com
    Updated Aug 17, 2023
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    Sarthak Bose (2023). Malnutrition: Underweight Women, Children & Others [Dataset]. https://www.kaggle.com/datasets/sarthakbose/malnutrition-underweight-women-children-and-others
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 17, 2023
    Dataset provided by
    Kaggle
    Authors
    Sarthak Bose
    License

    Attribution-NoDerivs 4.0 (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/
    License information was derived automatically

    Description

    🔗 Check out my notebook here: Link

    This dataset includes malnutrition indicators and some of the features that might impact malnutrition. The detailed description of the dataset is given below:

    • Percentage-of-underweight-children-data: Percentage of children aged 5 years or below who are underweight by country.

    • Prevalence of Underweight among Female Adults (Age Standardized Estimate): Percentage of female adults whos BMI is less than 18.

    • GDP per capita (constant 2015 US$): GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 U.S. dollars.

    • Domestic general government health expenditure (% of GDP): Public expenditure on health from domestic sources as a share of the economy as measured by GDP.

    • Maternal mortality ratio (modeled estimate, per 100,000 live births): Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).

    • Mean-age-at-first-birth-of-women-aged-20-50-data: Average age at which women of age 20-50 years have their first child.

    • School enrollment, secondary, female (% gross): Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.

  19. m

    Number of maternal deaths - Vanuatu

    • macro-rankings.com
    csv, excel
    Updated Jun 18, 2025
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    macro-rankings (2025). Number of maternal deaths - Vanuatu [Dataset]. https://www.macro-rankings.com/vanuatu/number-of-maternal-deaths
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Vanuatu
    Description

    Time series data for the statistic Number of maternal deaths and country Vanuatu. Indicator Definition:A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.

  20. Provisional drug overdose death counts for specific drugs

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated May 2, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Provisional drug overdose death counts for specific drugs [Dataset]. https://catalog.data.gov/dataset/provisional-drug-overdose-death-counts-for-specific-drugs
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    Dataset updated
    May 2, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates. The provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.

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Centers for Disease Control and Prevention (2025). VSRR Provisional Maternal Death Counts and Rates [Dataset]. https://data.virginia.gov/dataset/vsrr-provisional-maternal-death-counts-and-rates
Organization logo

VSRR Provisional Maternal Death Counts and Rates

Explore at:
csv, xsl, rdf, jsonAvailable download formats
Dataset updated
May 1, 2025
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Description

This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. Provisional rates which are an early estimate of the number of maternal deaths per 100,000 live births, are shown as of the date specified and may not include all deaths and births that occurred during a given time period (see Technical Notes).

A maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes. In this data visualization, maternal deaths are those deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers A34, O00–O95, and O98–O99.

The provisional data include reported 12 month-ending provisional maternal mortality rates overall, by age, and by race and Hispanic origin. Provisional maternal mortality rates presented in this data visualization are for “12-month ending periods,” defined as the number of maternal deaths per 100,000 live births occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2020 would include deaths and births occurring from July 1, 2019, through June 30, 2020. Evaluation of trends over time should compare estimates from year to year (June 2020 and June 2021), rather than month to month, to avoid overlapping time periods. In the visualization and in the accompanying data file, rates based on death counts less than 20 are suppressed in accordance with current NCHS standards of reliability for rates. Death counts between 1-9 in the data file are suppressed in accordance with National Center for Health Statistics (NCHS) confidentiality standards.

Provisional data presented on this page will be updated on a quarterly basis as additional records are received. Previously released estimates are revised to include data and record updates received since the previous release. As a result, the reliability of estimates for a 12-month period ending with a specific month will improve with each quarterly release and estimates for previous time periods may change as new data and updates are received.

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